Ryan Sarver

Ryan Sarver

@rsarver

Work: Angel investor, @redpointvc, @twitter Investor: @figmadesign @loom @telegram @wearehims @flexe @modernhealthco @shieldaitech @northonebanking @teamanvyl

Amsterdam // SF Joined 2007-02-26 Date of Analysis: Dec 16, 2025

231,793

Followers

3,502

Following

37,128

Tweets

1,414.8

Avg Engagement

1,985

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @rsarver's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2007-02-26
  • Verification:No
  • Location:Amsterdam // SF

Data Summary

  • Tweets Analyzed:3,211
  • Avg Likes per Tweet:7.5
  • Avg Retweets per Tweet:1,407.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,211 tweets

The account maintains a high level of engagement, with an average of 516 likes and 88 retweets per tweet. Their posts often spark discussions, especially on sensitive topics and personal opinions.

7.5

Avg Likes/Tweet

1,407.4

Avg Retweets/Tweet

24,045

Total Likes

4,519,024

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

18

75th Percentile

601,711

Top Tweet

6.1

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

9.7%

Original

51.9%

Replies

23.7%

Retweets

14.6%

Quotes

0.0%

Threads

0.8%

With Media

26.1%

With Links

2.0%

With #Tags

79.6%

With @Mentions

12.2%

With Emojis

101

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

5.32

Reply/Original Ratio

0.62

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.9%

Weekday Posts

25.1%

Weekend Posts

Top Hashtags

#glassfire (5) #covid19 (4) #saverestaurants (3) #1 (2) #ukraine (2) #thedaily (2) #californiawildfires (2) #walbridgefire (2) #nobel4jose (2) #adobefirefly (1)

Most Mentioned

@wckitchen (82) @chefjoseandres (71) @semil (63) @frontlinefoods (59) @ewerickson (47) @natemook (45) @jrichlive (43) @hunterwalk (37) @peterpham (35) @lennysan (35)

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Content Strategy Analysis

Based on 3,211 tweets

Content Type Distribution

Content Breakdown

Original Tweets 313 (10%)
Replies 1,666 (52%)
Retweets 762 (24%)
Quote Tweets 470 (15%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 762 retweets (24% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,211 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

rsarver's audience includes tech professionals, investors, and followers interested in startup ecosystems and social commentary. Their content appeals to those looking for both industry insights and personal perspectives.

Average

Audience Quality

24.6%

Suspicion Index

30.7%

Low-Quality %

76

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

40.4%

Empty Bio

31.4%

<10 Tweets

16.3%

Mass Following (>2K)

0.0%

New (<90 days)

40.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

65.2%

No URL

21.0%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

307,081,946

Total Potential Reach

76

Median Follower Reach

415

75th Percentile Reach

14.8%

>1K followers

3.6%

>10K followers

1.1%

>50K followers

0.6%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

48.5%

Creators

24,231 accounts

20.1%

Consumers

10,069 accounts

31.4%

Dormant

15,700 accounts

1,279

Verified Followers

2.56% of total

15.3%

Professional Bios

founder, dev, analyst, etc.

0.14

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

San Francisco, CA (1,080) San Francisco (580) New York, NY (474) Los Angeles, CA (382) United States (285) London (253) NYC (233) New York (219) London, England (183) Boston, MA (161)

1,456

Verified Followers

1.44% of total

9,369

Protected Accounts

9.28% of total

12 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@jimmyfallon 50,778,221 Comedian Comedy, TV, Music
@aplusk 16,883,606 Entrepreneur stories, companies, collaborations
@JohnCena 14,100,332 Wrestler Wrestling, Motivation, Self-promotion
@iamwill 11,838,468 Musician music, technology, innovation
@Spotify 9,483,047 Music streaming Music, Podcasts, Live audio
@mashable 9,250,827 Media Technology, Pop culture, Innovation
@marcjacobs 8,451,165 Fashion Designer Fashion, Design, Beauty
@foodandwine 6,965,096 Food critic Food, Wine, Upgrade
@FoodNetwork 6,027,390 Culinary TV cooking, baking, streaming
@Skrillex 5,857,107 Musician Music, DJing, Social Media

Top Keywords in Follower Bios

love (2,221) founder (1,606) tech (1,451) life (1,431) marketing (1,175) ceo (1,173) business (1,170) product (1,155) cofounder (1,131) follow (1,043)

Top Hashtags in Follower Bios

#startups (108) #ai (92) #tech (90) #startup (83) #bitcoin (79) #entrepreneur (76) #marketing (67) #1 (65) #socialmedia (63) #fintech (61)

43,309

Followers With Bio

57,677

Followers Without Bio

42.89%

% With Bio

57.11%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,211 analyzed

1,649,578

Combined Engagement

0

Total Likes

1,649,578

Total Retweets

329,916

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Tech Investment Social Commentary Personal Reflection Politics Entertainment Startup Ecosystem

Key Insights & Takeaways

rsarver is deeply involved in the startup and tech investment space, with a focus on companies like Figma and Loom. They frequently share personal reflections and opinions on social issues, which resonate with their audience. Their content often blends professional insights with emotional and political statements, indicating a diverse range of interests and values.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 231,793
  • + High community engagement through conversations
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @rsarver reveals an exceptionally influential Twitter presence with 231,793 followers. The account demonstrates a conversation-first approach, averaging 1,414.8 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025